CONFIDENCE.NORM function
PRO
The CONFIDENCE.NORM
function in Jspreadsheet Formulas Pro is a handy tool that provides the confidence interval for a population mean. In simpler terms, it tells you the range in which you can expect to find the average value of a population based on your sample data, assuming a normal distribution. This function is particularly useful in statistical analysis and forecasting, helping to predict future values with a certain level of confidence.
Documentation
Returns the confidence interval for a population mean, using a normal distribution.
Category
Statistical
Syntax
CONFIDENCE.NORM(alpha, standard_dev, size)
Parameter | Description |
---|---|
alpha |
The significance level used to compute the confidence level. Often represented as a decimal; for example, use 0.05 for a 95% confidence level. |
standard_dev |
The population standard deviation for the data range and is assumed to be known. Must be greater than 0. |
size |
The sample size. |
Behavior
The CONFIDENCE.NORM
function is used to compute the confidence interval for a population mean, using a normal distribution. The function requires three arguments: alpha
, standard_dev
, and size
.
- If any of the arguments are empty cells, the function will return an error.
- If any of the arguments are text, the function will attempt to convert the text to numbers. If the conversion is not possible, the function will return an error.
- The function treats booleans as numbers, with TRUE being equivalent to 1 and FALSE being equivalent to 0.
- If the
standard_dev
argument is less than or equal to 0, or thesize
argument is less than or equal to 1, the function will return an error. - If the
alpha
argument is less than or equal to 0, or greater than or equal to 1, the function will return an error. - The function is not affected by the formatting of the cells.
Common Errors
Error | Description |
---|---|
#VALUE! | The function returns this error when it fails to convert text to numbers. |
#NUM! | The function returns this error when alpha is less than or equal to 0, or greater than or equal to 1; standard_dev is less than or equal to 0; or size is less than or equal to 1. |
Best practices
- Make sure all input cells contain numeric values. Text or boolean values can lead to errors or unexpected results.
- Be careful when choosing values for
alpha
,standard_dev
, andsize
. Incorrect values can lead to errors or significantly alter the results of the function.- Use appropriate decimal places in your input to ensure accuracy of the results.
- Always check the validity of the data and the assumptions of normal distribution before using the
CONFIDENCE.NORM
function.
Usage
A few examples using the CONFIDENCE.NORM function.
| Formula | Result (approx.) | Explanation |
|------------------------------------|------------------|-----------------------------------------------------------|
| CONFIDENCE.NORM(0.05, 1.5, 30) | ≈ 0.5368 | 95% CI, std dev = 1.5, n = 30 |
| CONFIDENCE.NORM(0.01, 2, 50) | ≈ 0.7361 | 99% CI, larger margin of error due to higher confidence |
| CONFIDENCE.NORM(0.10, 3, 20) | ≈ 0.6929 | 90% CI, std dev = 3, n = 20 |
Interactive Spreadsheet Demo
<html>
<script src="https://jspreadsheet.com/v11/jspreadsheet.js"></script>
<script src="https://jsuites.net/v5/jsuites.js"></script>
<link rel="stylesheet" href="https://jsuites.net/v5/jsuites.css" type="text/css" />
<link rel="stylesheet" href="https://jspreadsheet.com/v11/jspreadsheet.css" type="text/css" />
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Material+Icons" />
<script src="https://cdn.jsdelivr.net/npm/@jspreadsheet/formula-pro/dist/index.min.js"></script>
<div id="spreadsheet"></div>
<script>
// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
// Create a new spreadsheet
jspreadsheet(document.getElementById('spreadsheet'), {
worksheets: [{
data: [
[
"Alpha",
"Std Dev",
"Sample Size",
"Confidence Interval"
],
[
0.05,
1.5,
30,
"=CONFIDENCE.NORM(A2,B2,C2)"
],
[
0.01,
2.3,
50,
"=CONFIDENCE.NORM(A3,B3,C3)"
],
[
0.1,
0.8,
25,
"=CONFIDENCE.NORM(A4,B4,C4)"
]
]
}]
});
</script>
</html>
import React, { useRef } from "react";
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/react";
import formula from "@jspreadsheet/formula-pro";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";
// Set license
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
export default function App() {
// Spreadsheet array of worksheets
const spreadsheet = useRef();
// Worksheet data
const data = [
[
"Alpha",
"Std Dev",
"Sample Size",
"Confidence Interval"
],
[
0.05,
1.5,
30,
"=CONFIDENCE.NORM(A2,B2,C2)"
],
[
0.01,
2.3,
50,
"=CONFIDENCE.NORM(A3,B3,C3)"
],
[
0.1,
0.8,
25,
"=CONFIDENCE.NORM(A4,B4,C4)"
]
];
// Render component
return (
<Spreadsheet ref={spreadsheet}>
<Worksheet data={data} />
</Spreadsheet>
);
}
<template>
<Spreadsheet ref="spreadsheet">
<Worksheet :data="data" />
</Spreadsheet>
</template>
<script>
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/vue";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";
import formula from "@jspreadsheet/formula-pro";
// Set license
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
export default {
components: {
Spreadsheet,
Worksheet,
},
data() {
// Worksheet data
const data = [
[
"Alpha",
"Std Dev",
"Sample Size",
"Confidence Interval"
],
[
0.05,
1.5,
30,
"=CONFIDENCE.NORM(A2,B2,C2)"
],
[
0.01,
2.3,
50,
"=CONFIDENCE.NORM(A3,B3,C3)"
],
[
0.1,
0.8,
25,
"=CONFIDENCE.NORM(A4,B4,C4)"
]
]
return {
data
};
}
}
</script>
import { Component, ViewChild, ElementRef } from "@angular/core";
import jspreadsheet from "jspreadsheet";
import * as formula from "@jspreadsheet/formula-pro";
// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
@Component({
standalone: true,
selector: "app-root",
template: `<div #spreadsheet></div>`
})
export class AppComponent {
@ViewChild("spreadsheet") spreadsheet: ElementRef;
// Worksheets
worksheets: jspreadsheet.worksheetInstance[];
// Create a new data grid
ngAfterViewInit() {
// Create spreadsheet
this.worksheets = jspreadsheet(this.spreadsheet.nativeElement, {
worksheets: [{
data: [
[
"Alpha",
"Std Dev",
"Sample Size",
"Confidence Interval"
],
[
0.05,
1.5,
30,
"=CONFIDENCE.NORM(A2,B2,C2)"
],
[
0.01,
2.3,
50,
"=CONFIDENCE.NORM(A3,B3,C3)"
],
[
0.1,
0.8,
25,
"=CONFIDENCE.NORM(A4,B4,C4)"
]
]
}]
});
}
}